Mac mini (2024)
Geekbench AI Score
15312
Single Precision Score
17322
Half Precision Score
15329
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | February 21 2025 04:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7530
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8249
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
6809
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11959
193.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12951
209.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13239
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56584
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
59015
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55848
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7088
562.3 IPS |
|
|
Object Detection (HP)
|
100% |
7671
608.4 IPS |
|
|
Object Detection (Q)
|
91% |
6356
507.9 IPS |
|
|
Face Detection (SP)
|
100% |
25534
303.4 IPS |
|
|
Face Detection (HP)
|
100% |
28080
333.6 IPS |
|
|
Face Detection (Q)
|
100% |
21035
249.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33133
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36184
278.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29372
229.6 IPS |
|
|
Style Transfer (SP)
|
100% |
123535
158.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135691
174.4 IPS |
|
|
Style Transfer (Q)
|
96% |
126960
163.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22887
845.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24323
898.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19262
711.2 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5136
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5095
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2921
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2909
50.3 IPS |
